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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 15418
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    Explanations

    proper nouns, particularly names of people

    oai_token-act-pair · gpt-3.5-turbo

    references to influential characters, specifically Betty and Archie

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.84
    udic
    -0.84
    umn
    -0.82
    andr
    -0.76
    iferation
    -0.74
    tenance
    -0.71
    tnc
    -0.71
     foss
    -0.70
    ugal
    -0.68
    inen
    -0.68
    POSITIVE LOGITS
     Betty
    1.13
     Veronica
    1.02
    pling
    0.81
     Cro
    0.81
     Donna
    0.81
     Chow
    0.81
    cakes
    0.80
     Lap
    0.77
     Gloria
    0.74
     Girl
    0.72
    Activations Density 0.008%

    No Known Activations